Data Visualization

Blog of the Data Visualization & Communication Course at OSB-AUB

This is my favorite part about analytics: Taking boring flat data and bringing it to life through visualization” John Tukey

Unpacking Airline Passenger Experience: A Customer Satisfaction Analysis

by | Nov 30, 2024 | Dashboard, Team Project, Visualization | 0 comments

It was a long-awaited vacation for Sara, a frequent traveler who had planned every detail of her trip meticulously. She boarded her flight with high hopes, ready to embrace the journey ahead. Yet, her excitement slowly faded as she experienced long delays, cramped seating, and unresponsive service. By the time she landed, her mood had shifted from excitement to frustration. Across the aisle, however, another passenger was smiling, delighted by the in-flight entertainment and exceptional service.

Why do these vastly different experiences occur on the same flight? What makes one passenger satisfied while another feels let down? This project dives into the complex factors influencing airline passenger satisfaction, shedding light on what truly matters to travelers and how airlines can improve their services to win customer loyalty.

Key Insights from the Analysis

Using a dataset of 129,880 airline passengers from the United States, our team explored how various flight experience factors, demographics, and service attributes contribute to overall passenger satisfaction. Here’s what we discovered:

  • Passenger Satisfaction Trends: A significant portion of passengers (57%) fall into the “neutral or dissatisfied” category. This indicates a substantial opportunity for improvement in airline services.
  • Factors with the Largest Impact:
    • Online boarding, in-flight entertainment, seat comfort, and cleanliness emerged as the top drivers of passenger satisfaction.
    • Features like gate location and departure/arrival time convenience had minimal impact on satisfaction scores.
  • Demographic Insights:
    • Smaller-aged passengers (0 – 18 years) reported higher dissatisfaction compared to other age groups.
    • Economy-class and Economy Plus passengers expressed higher dissatisfaction compared to business travelers.
    • Gender did not have an impact on satisfaction as both genders showed similar satisfaction rates.

Data-Driven Recommendations for Airlines

  1. Prioritize High-Impact Areas: Investments in online boarding, seat comfort, cleanliness, and in-flight entertainment could significantly reduce dissatisfaction.
  2. Focus on Specific Demographics: Tailor services for smaller-aged passengers and first-time flyers, as these groups are more prone to dissatisfaction.
  3. Continuous Monitoring: Establish feedback loops to adapt and evolve service offerings based on passenger needs.

How We Presented Our Findings

To communicate these findings effectively, we developed interactive dashboards showcasing correlations, demographic breakdowns, and feature impact analyses. These visualizations are accessible below and allow stakeholders to interact with the data, exploring insights in greater detail.


Our interactive dashboard and accompanying visuals can guide airline executives in making data-informed decisions to elevate passenger satisfaction levels and foster loyalty in a competitive market.

Looking Ahead

The airline industry thrives on customer trust and satisfaction. By addressing these key areas and continuously refining their services, airlines can not only enhance the passenger experience but also gain a competitive edge. Let’s use these insights to revolutionize the passenger experience! Whether you’re an airline executive, a policy maker, or a data enthusiast, join us in transforming these findings into actionable strategies. Share your thoughts, collaborate on solutions, and let’s redefine what exceptional air travel looks like.

0 Comments

Submit a Comment

Your email address will not be published. Required fields are marked *